On the background of global warming, energy shortages and environmental pollution, people pay more attention to the low-carbon economy. In this paper, the problem of green supplier selection based on low-carbon economy is studied. Concretely, an evaluation index system for green supplier selection under the low-carbon economy is presented, and then a multi-attribute decision model of green supplier selection is established based on the method of analytic hierarchy process (AHP). This model provides decision reference for the department of supply chain management. Introduction Due to the increasingly serious global environmental problems, there are serious threat for the human survival and development. In today's global climate growing, countries are seeking the path of sustainable development. China is the largest developing country in the world at present, but also is the superpower on greenhouse gas emissions. Thus, to study the problem of carbon dioxide emissions is not only conducive to China's sustainable development, but also makes an important contribution to the global greenhouse gas emissions and mitigate global warming,. The emergence of green suppliers plays a key role to reduce greenhouse gas emissions, so to seek the right green supplier under low-carbon economy have profound significance to the business development of a company and global climate change. China has joined the WTO, which provides more and better development platform, but some domestic small and medium sized companies do not change the previous production management idea, and still remain in the previous model of development, so that there are a series of questions in the procurement management of enterprises. First, companies are not good at using the Internet information platform to seek this development opportunities, but stick to the old path of development, i.e., the choice of suppliers to comply with the principle of proximity or from the perspective of a single price consideration, without considering the influence of green suppliers on the low-carbon economy, and can not choose the right green suppliers to cooperate. Secondly, the choice of suppliers is more dependent on the decision of the competent subjective consciousness, so supplier selection contains too much personal subjective factors. Finally, many companies will focus too much on product manufacturers, thus ignoring the concerns of the procurement management. In this case, the purchasing department can easily consider only the price of the product, thereby ignoring other issues, thereby affecting the quality and effectiveness of procurement. So it is of great practical significance to seek effective green supplier selection methods. For the problem of green supplier selection under low-carbon economy, many experts and scholars established many valuable mathematical models, which provide good guide for us. For example, Sun [1] presented an evaluation index system of sustainable development, and used the methods which combined the qualitative with quantitative idea to evaluate the supplier selection based on the Delphi method and the fuzzy comprehensive evaluation method. He also studied the problem of green supplier evaluation. Song [2] used the AHP method to determine the weights of evaluation attributes, and established a comprehensive evaluation model based on combination weights and triangle fuzzy International Conference on Applied Science and Engineering Innovation (ASEI 2015) © 2015. The authors Published by Atlantis Press 297 function, and used empirical analysis to verify the validity of the evaluation model. Ruan [3] established a supplier evaluation system in green supply chain management according to the supplier specific circumstances in China's manufacturing enterprises, and then he used the SPSS statistical software to do the clustering analysis for the green supply chain data, and verified the rationality of index classification. At last, he used the method of ELECTRE-I for supplier selection decisions and got the comprehensive evaluation results for manufacturing suppliers. In this paper, based on the study on the existing supplier selection, we put forward a new evaluation system of green supplier selection under low-carbon economy, and established a multi-attribute decision model for supplier selection based on the theoretical basis of a low-carbon economy and multi-attribute decision making theory. Our aim is to help companies to choose the best suppliers scientifically and effectively. Evaluation System of Green Supplier Selection When we construct the index system of green supplier selection, we should add the low-carbon, environmental and other factors into the traditional supplier selection evaluation system from the theoretical basis and content of green supply chain, which can reflect the social responsibility of corporate, and is line with the development requirements of low-carbon economy and green supply chain. Combined with relevant information of existing supplier selection methods [4-10], here we present an index system which includes five attributes, i.e., environmental performance, economic capacity, production capacity, service capacity and supply capacity, and the sub-attributes of each attribute are listed as shown in Table 1. Table 1. The evaluation System of Green Supplier Selection The upper attribute The lower attribute B1 Production capacity C1Quality C2 Technological level C3 Maximum Capacity B2 Economic capacity C4 Cost C5Price C6 Status of funds B3 Supply capacity C7 Accuracy rate of supply C8 Supply consumption C9 Timely delivery rate B4 Service capacity C10 Service delivery system C11 After-sales Service B5 Environmental performance C12 Environmental management C13 Environmental quality certification C14 Green degree of upstream suppliers Green Supplier Selection Model Based on AHP Based on the evaluation system of green supplier selection listed in Table 1, we present a green supplier selection model based on the method of AHP. The main idea is to do a few steps such as construct hierarchical structure model, construct the two-two comparison matrix, determine the single sorting and hierarchical total sorts, and then get the hierarchy of the components relative to the overall goal of a combination weights, and the final evaluation results of different feasible schemes can be obtained. The detailed steps are given as follows. Step 1: Determine the weights of decision attributes.